Research on Locating Default Users of Virtual Currency Mining Based on Electricity Information Acquisition Big Data

Agricultural electricity prices, as an important regulatory tool to support livelihoods and influence farmers' income, remain artificially low through cross-subsidies and government pricing, even under the current market-oriented electricity pricing model, in order to ensure affordable electricity for agricultural production and rural life. However, these low tariffs have also been exploited by some users as a means of profiteering. By employing "low-price, high-consumption" tactics, they illegally connect high-tariff loads to agricultural power supply systems, thereby obtaining undue benefits. In the context of China’s official classification of virtual currency mining as a regulated industry, connecting mining equipment to agricultural electricity meters severely harms the interests of power supply enterprises and the state, while undermining fairness in electricity consumption. This study analyzes the behavioral patterns of mining users versus genuine agricultural electricity consumption based on power load data, enabling rapid identification of anomalous users and supporting the maintenance of a fair and compliant electricity consumption environment.